Xianlin Jin
Papers
3
Total Citations
30
H-Index
3
About
Xianlin Jin investigates the intersection of human-machine communication, risk messaging, and technology adoption. Her research explores how people evaluate credibility and form behavioral intentions toward non-human information sources, including social robots and AI advisors. In a highly cited 2021 study (20 citations), Jin examined audience perceptions of professional, amateur, and robotic weather forecasters, revealing how delivery medium and source identity shape trust and attraction. Her qualitative work (6 citations) further unpacked how people interpret weather forecasts delivered by a social robot versus human meteorologists, identifying key evaluative themes. Extending this line of inquiry into healthcare, Jin’s 2023 study (4 citations) investigated trust and adoption intentions toward robotic health advisors, comparing designs tailored for physical versus relational health issues. Her contributions advance understanding of how emerging technologies—from social robots to AI—reshape communication dynamics in high-stakes domains like weather and health. By bridging communication theory with human-robot interaction, Jin’s work offers practical insights for designing credible, effective automated advisors.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3